生产过程中的小波阈值信号去噪方法

在工业生产过程中,由于设备所收集到的混合信号中包含大量的背景噪声信号,而这些背景噪声信号会影响到异响有用信号的提取。因此,为对收集的信号进行消噪,提出了小波阈值去噪中估计小波系数的软阈值和硬阈值方法,结合硬阈值和软阈值方法各自的特点,采用了几种改进的方案,分别是多项式插值法,软、硬阈值折衷法和模平方处理方法。最后给出了数值试验,结果说明,改进的小波阈值方法都得到了较好的去噪效果,为工业生产过程优化信号提取提供了依据。

Method for Wavelet Threshold Signal Denoising in Industrial Process

In the industrial production process,because equipment collected signals contain a lot of background noises which affect the extraction of normal sound signal,accordingly,signal de-noising is very necessary.The paper discussed the wavelet denoising threshold and estimated the wavelet coefficients of soft and hard threshold method,with hard and soft threshold method,and put forward the respective features of several improvement plans,which are polynomial interpolation method,soft and hard threshold compromise method and modulus square processing method.Finally,the numerical experiment result proves that this several improvement wavelet denoising threshold method has been better effect.